Presentation 2008-11-07
A Visualized Analysis on State Transition in Hopfield Network : An Application to Search Process of N Queens Problem
Kiyotaka YAMASHITA, Hiroshi WAKUYA,
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Abstract(in English) A Hopfield network is a good tool for solving combinatorial optimization problems, but it sometimes reaches a poor solution corresponding to an energy local minimum. In order to avoid it, a virtual magnetic diminuendo method, one of the techniques proposed recently, is investigated through visualizing the network's behavior during a search process. According to the preceding study with a relatively simple crossbar switch problem, it is found that visualization is quite effective to understand its working mechanism. Then, as a next step, it is applied to a more complicated N queens problem, and evaluated its extensiveness in this paper.
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Keyword(in English) Hopfield network / combinatorial optimization problem / virtual magnetic diminuendo method / magnetic parameter / visualized analysis
Paper # NC2008-60
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Committee NC
Conference Date 2008/10/31(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Visualized Analysis on State Transition in Hopfield Network : An Application to Search Process of N Queens Problem
Sub Title (in English)
Keyword(1) Hopfield network
Keyword(2) combinatorial optimization problem
Keyword(3) virtual magnetic diminuendo method
Keyword(4) magnetic parameter
Keyword(5) visualized analysis
1st Author's Name Kiyotaka YAMASHITA
1st Author's Affiliation Faculty of Science and Engineering, Saga University()
2nd Author's Name Hiroshi WAKUYA
2nd Author's Affiliation Faculty of Science and Engineering, Saga University
Date 2008-11-07
Paper # NC2008-60
Volume (vol) vol.108
Number (no) 281
Page pp.pp.-
#Pages 6
Date of Issue